Introduction

Spotify Wrapped 2016-2020

Every december Spotify makes you a “wrapped” playlist of the 100 songs you most frequently listened to that year giving a clear picture of your music taste that year. I’ve always found that my music taste is kind of variable with a lot of different genre’s so it would be interesting to see how my music taste has changed from 2016 till now. To compare my music taste from 2016 to 2020 i will analyze my Spotify wrapped 2016-2020 playlists using the following metrics: valence, danceability, energy, tempo, key and modality.

In addition i’d like to analyze my most frequently listened song and one favorite song or outlier from every playlist with the use of self similarity matrices, classifiers, tempo, chroma and chordograms.

Favorite/Outlier Samples:

Corpus:

My Corpus is divided into 5 groups of spotify wrapped playlists representing 2016 to 2020:

Wrapped 2016

Wrapped 2017

Wrapped 2018

Wrapped 2019

Wrapped 2020

Because I’m Happy…? (Valence Density Plot)


Multivariate Musicology (Valence, Energy, Danceability)


Time… (Tempo Histogram with Density)


And Time Again (Tempograms for Favorites/Outliers)


Acchordingly (Chordograms for Favorites/Outliers)


Keyp on moving (Key Frequency)


Feels like summer (Chromagram)


Self-Similarity Matrices


Wrapped Classification (KNN, Random Forests)


Thats A Wrap!